@inbook{4c91fc61c9014679b7542d688467210a,
title = "Inferring heading direction from silhouettes",
abstract = "Due to the absence of features that may be extracted from face, heading direction estimation for low resolution images is a difficult task. For such images, estimating heading direction requires to taking into account all information that may be inferred from human body in image, particularly its silhouette.We propose in this paper a set of geometric features extracted from shape shoulders-head, feet and knees shapes which jointly allow the estimation of body direction. Other features extracted from head-shoulders are proposed for the estimation of heading direction based on body direction. The constraint of camera position related to proposed features is discussed and results of experiments conducted are presented.",
author = "Amina Bensebaa and Slimane Larabi and Robertson, {Neil M.}",
year = "2015",
doi = "10.1007/978-3-319-13407-9_19",
language = "English",
isbn = "978-3-319-13406-2",
volume = "19",
series = "Lecture Notes in Computational Vision and Biomechanics",
pages = "319--334",
editor = "Tavares, {Jo{\~a}o Manuel R. S. } and {Natal Jorge}, {Renato }",
booktitle = "Developments in Medical Image Processing and Computational Vision",
}